Lead Engineer, ML QA, Group 42 (G42)

AI Engineer, Data Analyst, Data Science
United Arab Emirates
March 2, 2026
Full Time

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Job Description

The Lead Engineer, ML QA role at Inception, which belongs to G42, requires the development and implementation of quality assurance methods needed to test financial systems and artificial intelligence-powered enterprise systems. The position combines advanced testing methodologies with financial compliance knowledge to ensure production-ready, reliable, and scalable systems.

Job ID: 2580

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Main Duties

  • Conduct both manual and automated testing for financial systems and artificial intelligence platforms.
  • Strategies and governance structures to create quality standards which meet compliance obligations.
  • Preparing test planning which includes automation development and regression testing and validation activities.
  • Develops automation frameworks which include automated testing systems for user interfaces, application programming interfaces and data validation testing systems.
  • Testing practices within continuous integration and continuous delivery systems to enhance delivery performance.
  • Monitoring quality metrics and defect data for  testing coverage to verify that products are ready for release.
  • Performing financial regulations and audit requirements which include security standards compliance.

Essential Qualifications

  • Bachelor’s degree in Computer Science Engineering or related field. 
  • Demonstrate at least seven years of quality assurance work experience which includes leadership responsibilities in enterprise or financial sector companies. 
  • Extensive knowledge about both manual testing procedures and automated testing systems. 
  • Experience in creating automation frameworks and verifying controlled business processes. 
  • Knowledge of agile development practices and continuous integration continuous delivery software tools. 
  • Individuals demonstrate strong abilities in analytical tasks and communication skills while displaying leadership competencies.

Technical Exposure

  • Selenium Playwright Cypress and RestAssured enable automated testing. 
  • Programming languages Python C# and TypeScript are available for development. 
  • CI/CD: Azure DevOps and GitHub Actions for continuous integration and delivery. 
  • Cloud: Microsoft Azure services which include AKS and App Services for cloud computing. 
  • Data: SQL and Data Factory for data management tasks. 
  • Domain: The organization works with financial systems and compliance requirements and reporting activities.

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